Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Johansen, Håvard"'
Publikováno v:
JMIR Human Factors, Vol 7, Iss 4, p e19085 (2020)
BackgroundComplying with individual privacy perceptions is essential when processing personal information for research. Our specific research area is performance development of elite athletes, wherein nutritional aspects are important. Before adoptin
Externí odkaz:
https://doaj.org/article/35ff59ea8cee473f8699e43db8efbfd7
Autor:
Jha, Debesh, Rauniyar, Ashish, Johansen, Håvard D., Johansen, Dag, Riegler, Michael A., Halvorsen, Pål, Bagci, Ulas
Publikováno v:
published IEEE SAM 2022
Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine learning,
Externí odkaz:
http://arxiv.org/abs/2206.11335
Autor:
Jha, Debesh, Smedsrud, Pia H., Johansen, Dag, de Lange, Thomas, Johansen, Håvard D., Halvorsen, Pål, Riegler, Michael A.
Colonoscopy is considered the gold standard for detection of colorectal cancer and its precursors. Existing examination methods are, however, hampered by high overall miss-rate, and many abnormalities are left undetected. Computer-Aided Diagnosis sys
Externí odkaz:
http://arxiv.org/abs/2107.12435
Autor:
Jha, Debesh, Ali, Sharib, Tomar, Nikhil Kumar, Riegler, Michael A., Johansen, Dag, Johansen, Håvard D., Halvorsen, Pål
Publikováno v:
BHI 2021
Minimally invasive surgery is a surgical intervention used to examine the organs inside the abdomen and has been widely used due to its effectiveness over open surgery. Due to the hardware improvements such as high definition cameras, this procedure
Externí odkaz:
http://arxiv.org/abs/2107.02319
Autor:
Srivastava, Abhishek, Jha, Debesh, Chanda, Sukalpa, Pal, Umapada, Johansen, Håvard D., Johansen, Dag, Riegler, Michael A., Ali, Sharib, Halvorsen, Pål
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, 2022
Methods based on convolutional neural networks have improved the performance of biomedical image segmentation. However, most of these methods cannot efficiently segment objects of variable sizes and train on small and biased datasets, which are commo
Externí odkaz:
http://arxiv.org/abs/2105.07451
Autor:
Jha, Debesh, Tomar, Nikhil Kumar, Ali, Sharib, Riegler, Michael A., Johansen, Håvard D., Johansen, Dag, de Lange, Thomas, Halvorsen, Pål
Deep learning in gastrointestinal endoscopy can assist to improve clinical performance and be helpful to assess lesions more accurately. To this extent, semantic segmentation methods that can perform automated real-time delineation of a region-of-int
Externí odkaz:
http://arxiv.org/abs/2104.11138
Autor:
Tomar, Nikhil Kumar, Jha, Debesh, Riegler, Michael A., Johansen, Håvard D., Johansen, Dag, Rittscher, Jens, Halvorsen, Pål, Ali, Sharib
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems, 2022
The increase of available large clinical and experimental datasets has contributed to a substantial amount of important contributions in the area of biomedical image analysis. Image segmentation, which is crucial for any quantitative analysis, has es
Externí odkaz:
http://arxiv.org/abs/2103.17235
Autor:
Jha, Debesh, Yazidi, Anis, Riegler, Michael A., Johansen, Dag, Johansen, Håvard D., Halvorsen, Pål
Deep Neural Networks (DNNs) have become the de-facto standard in computer vision, as well as in many other pattern recognition tasks. A key drawback of DNNs is that the training phase can be very computationally expensive. Organizations or individual
Externí odkaz:
http://arxiv.org/abs/2101.02268
Publikováno v:
Nordic Concrete Research, Vol 68, Iss 1, Pp 39-63 (2023)
This paper describes the structural effects of ASR expansion in reinforced structures. It proposes models and procedures for calculating the strains in the concrete caused by the reinforcement, the load effects in statically indeterminate structures
Externí odkaz:
https://doaj.org/article/697d7efa6a3b4145ad628947aa7c2db4
Autor:
Jha, Debesh, Hicks, Steven A., Emanuelsen, Krister, Johansen, Håvard, Johansen, Dag, de Lange, Thomas, Riegler, Michael A., Halvorsen, Pål
Colorectal cancer is the third most common cause of cancer worldwide. According to Global cancer statistics 2018, the incidence of colorectal cancer is increasing in both developing and developed countries. Early detection of colon anomalies such as
Externí odkaz:
http://arxiv.org/abs/2012.15244